import numpy as np
#input:np.adarray,np.adarray
def Indicator(feature,target):
    res={}
    (res['S'],res['dim'])=feature.shape
    res['L']=target.shape[1]
    res['LCard']=(target*(target==1)).sum()/res['S']
    res['LDen']=res['LCard']/res['L']
    res['DL']=np.array(list(set([tuple(t) for t in target]))).shape[0]
    res['PDL']=res['DL']/res['S']
    return res
    